Mathematical Modeling of Tumor and Cancer Stem Cells Treated with CAR-T Therapy and Inhibition of TGF-

Ellen R Swanson1, Emek Köse2, Elizabeth A Zollinger3

  • 1Department of Mathematics, Centre College, Danville, KY, USA. ellen.swanson@centre.edu.

Insights

This study introduces a mathematical model for Chimeric Antigen Receptor (CAR) T-cell therapy targeting cancer stem cells in solid tumors. The model explores strategies to eliminate tumors by combining CAR T-cell treatments with TGF-β inhibition.

Area of Science:

  • Mathematical Oncology
  • Immunotherapy Modeling
  • Cancer Stem Cell Dynamics

Background:

  • The cancer stem cell hypothesis posits that a subset of cells drives tumor initiation, growth, and metastasis.
  • Conventional therapies often spare cancer stem cells, leading to potential tumor recurrence.
  • Chimeric Antigen Receptor (CAR) T-cell therapy, a promising immunotherapy, is expanding to solid tumors.

Purpose of the Study:

  • To develop an ordinary differential equations model for CAR T-cell therapy targeting cancer stem cells in solid tumors.
  • To investigate the impact of TGF-β, an immunosuppressive factor, on CAR T-cell efficacy within the tumor microenvironment.
  • To identify optimal treatment strategies for tumor eradication by combining CAR T-cell approaches and TGF-β inhibition.

Main Methods:

  • Construction of a mathematical model using ordinary differential equations to simulate CAR T-cell interactions with cancer stem cells and non-stem tumor cells.
  • Incorporation of the inhibitory effect of TGF-β on CAR T-cell function into the model.
  • Model validation against existing data, followed by in-silico examination of various treatment combinations.

Main Results:

  • The model successfully simulates CAR T-cell infusion targeting cancer stem cells within the solid tumor microenvironment.
  • The influence of TGF-β on CAR T-cell activity and tumor growth dynamics was quantitatively assessed.
  • Simulations identified specific combinations of CAR T-cell treatments and TGF-β modulation that show potential for tumor elimination.

Conclusions:

  • Mathematical modeling provides a framework for optimizing CAR T-cell therapy against solid tumors, specifically addressing the challenge of cancer stem cells.
  • Targeting cancer stem cells and mitigating immunosuppressive factors like TGF-β are crucial for achieving durable responses.
  • The study highlights the potential of combined therapeutic strategies for complete tumor eradication.